GPUMemNet

GPU memory estimation artifacts for deep learning training workloads

GPUMemNet is an artifact repository for deep learning-based GPU memory estimation for training workloads. It includes dataset generation, cleaning, analysis, and modeling components used to study training-aware GPU resource management.

Links:
GitHub